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pandas alternatives, closes #282 #306

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15 changes: 15 additions & 0 deletions content/pandas.rst
Original file line number Diff line number Diff line change
Expand Up @@ -601,6 +601,21 @@ limited by memory size. Thus, the result from fibonacci(99) would be erroneous w
using numpy ints. The type of df['Number of Rabbits'][99] given by both functions above
is in fact <class 'int'>.

Alternatives to Pandas
----------------------

**Polars**

`Polars <https://pola.rs/>`__ is a DataFrame library designed to processing data with a fast lighting time. Polars is implemented in Rust Programming language and uses `Apache Arrow <https://arrow.apache.org/docs/format/Columnar.html>`__ as its memory format.

**Dask**

`Dask <https://www.dask.org/>`__ is a Python package for parallel computing in Python and uses parallel data-frames for dealing with very large arrays.

**Vaex**

`Vaex <https://github.com/vaexio/vaex>`__ is a high performance Python library for lazy Out-of-Core DataFrames, to visualize and explore big tabular datasets.


.. keypoints::

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